We are looking for a MLOps Engineer to join our software Division at Elta Systems!

The position includes:

• Design, build, and manage the infrastructure for deploying and monitoring ML models.
• Collaborate closely with Data Scientists, Software Engineers, Developers, and Architects to ensure stable model training and deployment.
• Build and maintain Big Data infrastructure using modern tools.
• Develop and manage CI/CD/CT pipelines for model training and evaluation.
• Ensure data privacy and security compliance.
• Monitor deployed models and resolve issues to ensure consistent performance.
• Develop automation tools for data preparation, feature engineering, and model training.
• Implement model versioning and governance to ensure reproducibility and auditing.
• Support and mentor team members on MLOps best practices.
• Stay up to date with trends and technologies in AI, ML, Big Data, and cloud infrastructure.

What We’re Looking For

• Relevant academic background (Computer Science, Engineering, or equivalent).
• 2+ years of experience in MLOps, ML engineering, or related roles – mandatory.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn) – mandatory.
• Deep understanding of DevOps tools: Docker, Podman, Kubernetes, Jenkins, Terraform, Ansible – mandatory.
• Hands-on experience with CI/CD and Git-based systems (GitHub/GitLab, Azure DevOps) – mandatory.
• Knowledge of model deployment, monitoring, and performance optimization – mandatory.
• Experience with data storage systems (SQL, NoSQL, Data Lakehouse) – mandatory.
• Experience with cloud platforms (AWS, GCP, Azure) – advantage.
• Familiarity with MLOps tools (ClearML, Kubeflow, MLflow) – advantage.
• Knowledge of model serving frameworks (TensorFlow Serving, TorchServe, Seldon) – advantage.
• Experience with Apache Airflow – advantage.
• Familiarity with monitoring tools (Prometheus, Grafana) – advantage.
• Experience with Data Lakehouse technologies (Cloudera, Hive, Spark, Kafka) – advantage.

Good to know:

You’ll play a key role in building and maintaining ML systems across Elta. This position offers an opportunity to work closely with cross-functional teams, including Data Scientists, Software Engineers, and IT, to build state-of-the-art AI and Big Data infrastructure in both development and production environments.